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Related Articles from SNS
World2Act: Latent Action Post-Training from World Model Dynamics
arXiv:2603.10422v2 Announce Type: replace Abstract: World Models (WMs) offer a promising mechanism for post-training Vision-Language-Action (VLA) policies by providing dynamics priors that improve generalization under task and scene variation. However, most WM-based post-training methods rely on pixel-space supervision, making policies sensitive to visual artifacts introduced by imperfect WM rollouts. We present World2Act, a latent-space post-training framework that transfers WM dynamics to...
SWARM+: Scalable and Resilient Multi-Agent Consensus for Decentralized Data-Aware Workload Management
arXiv:2603.19431v3 Announce Type: replace Abstract: Distributed scientific workflows are increasingly executed across heterogeneous and geo-distributed computing environments, where centralized workload orchestration becomes a scalability and resilience bottleneck. This paper presents SWARM+, a decentralized workload management system that coordinates workload placement through hierarchical multi-agent consensus, reducing coordination overhead and dramatically improving scalability, while...
GeoLibre 1.0
Cloud-native GIS platform A lightweight, cloud-native GIS platform for visualizing, exploring, and analyzing geospatial data. GeoLibre is built with Tauri, React, TypeScript, MapLibre GL JS, DuckDB-WASM Spatial, and deck.gl.
SWARM+: Scalable and Resilient Multi-Agent Consensus for Decentralized Data-Aware Workload Management
arXiv:2603.19431v2 Announce Type: replace Abstract: Distributed scientific workflows are increasingly executed across heterogeneous and geo-distributed computing environments, where centralized workload orchestration becomes a scalability and resilience bottleneck. This paper presents SWARM+, a decentralized workload management system that coordinates workload placement through hierarchical multi-agent consensus, reducing coordination overhead and dramatically improving scalability, while...